Sir Luke  0-0

Sir Luke 0-0 — CS2 Stats

76561197960637247[U:1:371519]Steam profile ↗✓ No bans

1,087Tracked matches34%Win rate2020Tracked since
5,090Hours in CS3Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 1,087
−8.9ppWin rate · 43.3% → 34.5%

Rating over time

20,108Peak Premier in tracked matches
41Days played since 2025-10-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate31%——
K/D0.87——
Headshot %36%——

Measured 18 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,888), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate36.3%43.7%44.8%8.5% short
Shot accuracy17.2%12.0%12.4%above
Kill/death ratio1.131.021.03above
Match win rate47.9%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSir Luke 0-0FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning61
Utility31

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLWLWLLLLW

Last 10 vs previous 10: +10pp win rate · 0.00 avg rating · −3.4pp headshot accuracy · +0ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 516ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 538ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.9 against its own average).

Aim5.2
Utility3.1
Positioning6.1
Opening Duels3.4
Clutch0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.2
Positioning6.1
Utility3.1
Mechanics1.9
Opening Duels4.6
Win Impact0.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time521ms−94ms
first ⅓ avg 615ms → last ⅓ avg 521ms
Headshot accuracy14.6%+0.3%
first ⅓ avg 14.3% → last ⅓ avg 14.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.21Best match rating · 4–0 · nuke, 5 Aug →
60%Best headshot accuracy · 4–0 · nuke, 5 Aug →
375msFastest reaction time · 8–13 · cache, 18 Aug →
13–1Biggest win · ancient, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 9cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3015–1550%-0.03
infernoD134–931%-0.04
nukeC114–736%-0.00
anubisS96–367%-0.02
ancientC94–544%-0.01
mirageC94–544%-0.03
cacheD82–625%-0.02
boulder—32–167%0.02
vertigo—33–0100%-0.01
overpass—21–150%-0.04
train—21–150%-0.05
fachwerk—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

174,165Lifetime kills
1.13K/D · Top 50% of Level 5 players
4,156Matches
47.9%Match win rate · Top 25% of Level 5 players
36.3%Headshot %
17.2%Shot accuracy · Top 25% of Level 5 players
11,861MVPs
2,938Hours (in match)
7,102Bombs planted
1,511Bombs defused

Most-used weapons

AWP64,163
AK-4719,276
P25012,500
SSG 087,855
SG 5533,888
Knife2,634

Lifetime map wins

12,441inferno
11,973dust2
4,628nuke
4,013train
1,647vertigo
1,272cbble
197lake
192office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

777Matches
50%Win rate
1.01Avg K/D
66.0ADR
34%Headshot %

Clutches & streaks

13%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21450%0.9212.1
Mirage1040%0.7811.0
Anubis650%0.6611.0
Cache50%0.599.8
Ancient540%1.079.2
Vertigo560%0.549.2
Nuke450%0.9011.8
Inferno333%0.6910.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.8%Spray accuracy
58.5%Counter-strafing
9.3°Preaim
529msReaction time
55.4%T opening success
41.0%CT opening success
0.42Enemies flashed / flash
1.0%Flash assists
10.65HE damage / grenade
1.82Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4793% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.418 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–130.029%3 Oct →
inferno9–13-0.029%27 Sept →
anubis13–5-0.0213%27 Sept →
cache9–13-0.0613%27 Sept →
dust213–20.0618%27 Sept →
dust213–16-0.0515%27 Sept →
dust210–13-0.067%26 Sept →
nuke3–13-0.087%26 Sept →
inferno10–13-0.0127%26 Sept →
dust213–20.0721%26 Sept →
dust210–13-0.0515%26 Sept →
ancient8–13-0.0129%26 Sept →
ancient13–30.0721%25 Sept →
dust212–12-0.0514%25 Sept →
boulder8–130.0310%13 Sept →
nuke9–13-0.0326%13 Sept →
overpass11–13-0.0314%13 Sept →
mirage13–70.0121%25 Aug →
dust26–13-0.0613%23 Aug →
anubis6–13-0.0210%23 Aug →
mirage7–13-0.0721%23 Aug →
ancient13–16-0.095%23 Aug →
dust213–60.0123%22 Aug →
vertigo13–6-0.0514%22 Aug →
ancient13–2-0.0211%21 Aug →
cache5–13-0.0813%21 Aug →
nuke5–13-0.0415%21 Aug →
dust213–3-0.020%20 Aug →
dust213–40.0412%19 Aug →
cache8–13-0.0110%18 Aug →
mirage13–60.0116%18 Aug →
dust211–13-0.0513%18 Aug →
cache10–130.0018%17 Aug →
dust213–60.0326%16 Aug →
anubis13–8-0.0412%16 Aug →
ancient13–10.035%16 Aug →
dust216–14-0.0515%16 Aug →
dust25–13-0.0422%16 Aug →
mirage3–13-0.0515%16 Aug →
ancient6–13-0.0913%15 Aug →
inferno8–13-0.085%15 Aug →
dust210–13-0.0312%15 Aug →
dust213–8-0.0623%15 Aug →
anubis13–10-0.049%15 Aug →
cache13–16-0.063%15 Aug →
ancient5–130.0615%9 Aug →
cache13–11-0.047%9 Aug →
fachwerk13–30.0216%9 Aug →
inferno7–13-0.028%9 Aug →
ancient7–13-0.0317%8 Aug →
anubis13–4-0.0410%8 Aug →
dust24–13-0.0927%8 Aug →
boulder13–7-0.019%6 Aug →
dust213–7-0.0319%6 Aug →
vertigo9–70.0132%6 Aug →
train12–12-0.0318%5 Aug →
nuke12–120.0520%5 Aug →
nuke4–00.2160%5 Aug →
inferno13–100.0218%3 Aug →
vertigo13–70.0119%3 Aug →
boulder13–20.0414%3 Aug →
dust27–13-0.0324%2 Aug →
inferno10–130.0114%14 Jul →
inferno13–6-0.0313%13 Jul →
cache13–10.0727%13 Jul →
cache7–130.0024%12 Jul →
dust210–130.0115%12 Jul →
inferno10–13-0.120%12 Jul →
inferno7–13-0.068%28 Jun →
ancient13–11-0.036%28 Jun →
mirage7–0-0.0722%28 Jun →
dust213–80.0122%28 Jun →
dust213–8-0.0620%25 Jun →
nuke13–50.0338%21 Jun →
dust212–16-0.0521%21 Jun →
nuke11–13-0.0710%21 Jun →
nuke11–13-0.0517%7 Jun →
dust213–9-0.0318%3 May →
inferno13–7-0.0211%3 May →
overpass13–5-0.0419%2 May →
nuke7–13-0.0610%2 May →
anubis14–16-0.029%13 Apr →
inferno9–13-0.087%13 Apr →
mirage3–13-0.056%13 Apr →
dust213–7-0.0621%13 Apr →
inferno6–13-0.1013%13 Apr →
inferno13–3-0.0419%9 Apr →
dust24–13-0.064%24 Mar →
anubis15–15-0.0210%22 Mar →
mirage13–6-0.0629%22 Mar →
anubis13–110.0219%22 Mar →
mirage1–130.026%15 Mar →
mirage7–130.0021%18 Jan →
nuke13–7-0.0218%11 Jan →
dust213–8-0.0616%7 Dec →
anubis13–8-0.0313%5 Dec →
dust25–13-0.1013%5 Dec →
train7–0-0.070%5 Dec →
dust213–5-0.068%27 Nov →
nuke12–30.0422%25 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.